Collaborative Research: Critical Data Stories: Co-Designing Remixing Tools with Teachers to Support Critical Data Literacy with Middle School Youth
Collaborative Research: Critical Data Stories: Co-Designing Remixing Tools with Teachers to Support Critical Data Literacy with Middle School Youth
批准号:
2302659
负责人:
Megan Silander
金额:
$14.79万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-15 至 2026-06-30
中文摘要
年轻人是数据相关主张的狂热创造者和消费者,他们通过参与社交媒体网站来查看、制作和分享内容。他们重新混合内容,以彼此的视频、gif和表情包为基础来代表和讨论他们关心的话题。然而,在这些平台上的参与可能会导致回音室、错误信息和脱离现实世界经验的观点的扩散。因此,必须支持青年发展批评与数据有关的主张的能力,方法是参与从整体上考虑背景的调查,并同情所涉人员。该项目探索了中学数学和英语教师的课程和工具的开发,这些课程和工具将利用青年与数字媒体混合的做法来发展辩论技能和关键数据素养,这些技能和关键数据素养是参与当今的劳动力和作为知情公民所必需的。学生将通过综合各种数据来源和媒体的信息,在创建数据故事的过程中探索社会政治问题。该项目将开发课程资源和工具,以支持学生利用数据和围绕数据进行调查、批评、交流和建立知识的能力。该项目将通过暑期研讨会和全年设计合作,吸引美国4所学校的10名跨领域教师;通过课堂实施,吸引全美多达30名教师和1300名学生。该项目将开发工具和学习活动,包括脚手架和互动设计,以支持青年与文化相关的媒体实践、数据调查的关键,以及通过重新混合现有在线材料进行沟通。该项目将让中学数学和英语教师参与技术和课程单元的共同设计和实施,因为他们的学习者使用数据和媒体来调查和回应他们周围的社会政治系统。以设计为基础的研究方法将为技术和课程的多次迭代提供信息。研究人员将使用混合方法分析文档、参与者访谈、课堂观察和实施人工制品,以回答三个研究问题:(1)什么混合负担可以支持学生的关键数据推理实践?(2)我们如何支持关键数据讲述工具在不同课堂环境中的实施?以及(3)关键数据讲述工具的混合负担如何支持学生开发和应用关键数据扫盲实践?这个项目将有助于理解技术如何将跨学科的学习目标与论证和交流联系起来,以支持关键的数据推理实践。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Youth are avid creators and consumers of data-related claims through their participation on social media sites, in which they view, produce, and share content. They remix content, building off one another’s videos, gifs, and memes to represent and discuss topics they care about. However, participation on these same platforms can result in echo chambers, misinformation, and proliferation of perspectives that are detached from real-world experience. Thus, it is essential to support youth in developing the ability to critique data-related claims through engaging in investigations that consider context holistically, and with empathy for the people involved. This project explores the development of curricula and tools with middle school Math and English teachers that will leverage youth’s practices with digital media remixing to develop argumentation skills and the critical data literacies necessary to participate in today’s workforce and as informed citizens. Students will explore sociopolitical issues as they create data stories by synthesizing information across data sources and media. The project will develop curricular resources and tools to support students’ abilities to investigate, critique, communicate and build knowledge with and around data. The project will engage 10 cross-domain teachers in 4 schools across the U.S. through summer workshops and year-round design collaborations; and up to 30 teachers and 1300 students across the United States through classroom implementations.The project will develop tools and learning activities, including scaffolding and interaction design, to support integration of youth’s culturally relevant media practices, criticality in data investigations, and communication through the remixing of preexisting online material. The project will engage middle school math and English teachers in the co-design and implementation of the technology and curricular units as their learners use data and media to investigate and respond to their surrounding sociopolitical systems. A design-based research approach will inform multiple iterations of the technology and curriculum. Researchers will use mixed methods to analyze documentation, participant interviews, classroom observations, and implementation artifacts, to answer three research questions: (1) What remixing affordances can support students’ critical data-reasoning practices?, (2) How can we support the implementation of critical data storytelling tools in diverse classroom contexts?, and (3) How do the remixing affordances of the critical data storytelling tools support students in developing and applying critical data-literacy practices? This project will contribute to an understanding of how technology can connect interdisciplinary learning goals across argumentation and communication to support critical data-reasoning practices.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Collaborative Research: Building students' data literacy through the co-design of curriculum by mathematics and art teachers
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批准号:1908030
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项目类别:Standard Grant
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资助金额:$12.67万
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财政年份:2019
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负责人:Megan Silander
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依托单位:
国内基金
海外基金
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